Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning

Background: Current approaches to predicting intervention needs and mortality have reached 65–85% accuracy, which falls below clinical decision-making requirements in patients with acute pancreatitis (AP). We aimed to accurately predict therapeutic intervention needs and mortality on admission, in A...

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Detalles Bibliográficos
Autores principales: Shi, Na, Lan, Lan, Luo, Jiawei, Zhu, Ping, Ward, Thomas R. W., Szatmary, Peter, Sutton, Robert, Huang, Wei, Windsor, John A., Zhou, Xiaobo, Xia, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031087/
https://www.ncbi.nlm.nih.gov/pubmed/35455733
http://dx.doi.org/10.3390/jpm12040616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031087/
https://www.ncbi.nlm.nih.gov/pubmed/35455733
http://dx.doi.org/10.3390/jpm12040616

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